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Machine Learning Researcher Jobs (NOW HIRING)

Conduct research in Machine Learning to improve multiple aspects of the investment pipeline * Produce trading and predictive signals using innovative ML algorithms * Apply the latest LLM-based ...

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

Conduct research using machine learning methodologies that integrate financial theory with deep learning and reinforcement learning * Design and develop models that convert AI-extracted signals from ...

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

Machine Learning Researcher

New York, NY · On-site

$154K - $213K/yr

Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission-critical problems. We are a highly ...

Machine Learning Researcher

Broadway, VA · On-site

$154K - $213K/yr

Morgan Stanley's Machine Learning Research Department is responsible for working across the Firms many business units and technology teams to solve mission-critical problems. We are a highly ...

MSCI is establishing a Machine Learning Center of Excellence within the Research & Development team to develop machine learning models that power investment tools for institutional clients. We are ...

Machine Learning Researcher

Chicago, IL · On-site

$200K - $275K/yr

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a ...

Machine Learning Researcher

Manhattan, NY · On-site

$250K - $300K/yr

Design and deploy machine learning models to enhance trading performance across various asset classes * Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to ...

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

New York, United States IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems.

Machine Learning Researcher

Manhattan, NY · On-site

$180K - $280K/yr

As a Machine Learning Researcher , you will play a pivotal role in pushing the boundaries of what's possible with AI in education. Your work will assist teachers by personalizing their teaching ...

On our Machine Learning team, you'll build the deep learning models that power our trading ... At Jane Street, our researchers, engineers, and traders sit a few feet away from each other and ...

Showing results 21-40

Machine Learning Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do machine learning researcher jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What is the difference between Machine Learning Researcher vs Data Scientist?

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What cities are hiring for Machine Learning Researcher jobs?

Cities with the most Machine Learning Researcher job openings:

What are the most commonly searched types of Machine Learning Researcher jobs?

The most popular types of Machine Learning Researcher jobs are:

Who are the top companies hiring for Machine Learning Researcher jobs?

The top employers for Machine Learning Researcher jobs are:

What states have the most Machine Learning Researcher jobs?

States with the most job openings for Machine Learning Researcher jobs include:

What are popular job titles related to Machine Learning Researcher jobs?

For Machine Learning Researcher jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Researcher job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Machine Learning Researcher

Miami, FL • On-site

Other

Posted 13 days ago


Job description

AI Scientist | West Palm Beach, FL


About Our Client

Our client develops and deploys systematic financial strategies across a broad range of asset classes and global markets, producing high-quality predictive signals (alphas) through a proprietary research platform focused on market inefficiencies. Their culture pairs academic sensibility with accountability for results — employees are encouraged to think openly, challenge conventional thinking, and pursue continuous improvement. Great ideas can come from anyone, anywhere.


They're looking to hire the best and the brightest — people with outstanding intellectual horsepower who can help build the roadmap to future success, not just follow one.


The Role

We are seeking an exceptionally talented AI Scientist to join our client's Artificial Intelligence team. The successful candidate will:

  • Conduct research in Machine Learning to improve multiple aspects of the investment pipeline
  • Produce trading and predictive signals using innovative ML algorithms
  • Apply the latest LLM-based agentic technology to develop and test trading signals and algorithms
  • Implement signal compression and combination techniques using ML tools
  • Implement state-of-the-art machine learning algorithms and design deep learning architectures
  • Develop model frameworks for investment professionals
  • Collaborate with portfolio managers and researchers to optimize machine learning algorithms
  • Communicate effectively with team members, researchers, and portfolio managers


What You'll Bring

  • PhD in a quantitative or highly analytical field (Computer Science, Physics, Mathematics, Statistics, or related)
  • 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems
  • Track record of graduating at the top of your program, with excellent problem-solving abilities, insight, and judgment
  • Strong development skills and proficiency in C++, Python, and PyTorch
  • Demonstrated science aptitude via a record of creativity and invention, with the ability to run experiments and perform statistical inference
  • Experience with software development tools and practices (version control/Git, continuous integration, testing frameworks)
  • Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization
  • Strong communication skills; ability to express complex concepts in simple terms


If you are interested in this role, please feel free to send your resume to jing@aaaglobal.co.uk.